Getting closer to predicting start-up success at an early-stage using machine learning

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Keywords	predictive modeling, start-ups, machine learning, multi-method, survey, Random Forest Classifier, Gradient Boosting Classifier
Thesis Advisor	Crisostomo Pereira Belo, R., Priante, Anna
Persistent URL	hdl.handle.net/2105/54151
Series	Business Information Management
Organisation	Rotterdam School of Management
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Degener, Sven. (2020, July 16). Getting closer to predicting start-up success at an early-stage using machine learning. Business Information Management. Retrieved from http://hdl.handle.net/2105/54151

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